Joachim Hass - Publications

Affiliations: 
Central Institute of Mental Health, Mannheim, Mannheim, Baden-Württemberg, Germany 
Area:
Computational Neuroscience, PFC, time perception
Website:
http://www.chaos.gwdg.de/nldpeoplefolder.2007-07-17.7548289764/nldperson.2007-12-17.6423769378

19 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Hass J, Ardid S, Sherfey J, Kopell N. Constraints on Persistent Activity in a Biologically Detailed Network Model of the Prefrontal Cortex with Heterogeneities. Progress in Neurobiology. 102287. PMID 35533813 DOI: 10.1016/j.pneurobio.2022.102287  0.373
2020 Sadeghi S, Mier D, Gerchen MF, Schmidt SNL, Hass J. Dynamic Causal Modeling for fMRI With Wilson-Cowan-Based Neuronal Equations. Frontiers in Neuroscience. 14: 593867. PMID 33328865 DOI: 10.3389/fnins.2020.593867  0.358
2020 Schmidt SNL, Sojer CA, Hass J, Kirsch P, Mier D. fMRI adaptation reveals: The human mirror neuron system discriminates emotional valence. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 128: 270-280. PMID 32438032 DOI: 10.1016/J.Cortex.2020.03.026  0.316
2019 Ardid S, Sherfey JS, McCarthy MM, Hass J, Pittman-Polletta BR, Kopell N. Biased competition in the absence of input bias revealed through corticostriatal computation. Proceedings of the National Academy of Sciences of the United States of America. PMID 30962383 DOI: 10.1073/Pnas.1812535116  0.392
2018 Sherfey JS, Ardid S, Hass J, Hasselmo ME, Kopell NJ. Flexible resonance in prefrontal networks with strong feedback inhibition. Plos Computational Biology. 14: e1006357. PMID 30091975 DOI: 10.1371/Journal.Pcbi.1006357  0.343
2016 Hass J, Hertäg L, Durstewitz D. A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. Plos Computational Biology. 12: e1004930. PMID 27203563 DOI: 10.1371/Journal.Pcbi.1004930  0.66
2016 Ardid S, Sherfey J, McCarthy MM, Hass J, Kopell N. Unraveling action selection and inhibitory control mechanisms in a striatal microcircuit model International Journal of Psychophysiology. 108: 18. DOI: 10.1016/J.Ijpsycho.2016.07.061  0.333
2016 Hass J, Durstewitz D. Time at the center, or time at the side? Assessing current models of time perception Current Opinion in Behavioral Sciences. 8: 238-244. DOI: 10.1016/J.Cobeha.2016.02.030  0.622
2014 Hass J, Durstewitz D. Neurocomputational models of time perception. Advances in Experimental Medicine and Biology. 829: 49-71. PMID 25358705 DOI: 10.1007/978-1-4939-1782-2_4  0.653
2013 Quiroga-Lombard CS, Hass J, Durstewitz D. Method for stationarity-segmentation of spike train data with application to the Pearson cross-correlation. Journal of Neurophysiology. 110: 562-72. PMID 23636729 DOI: 10.1152/Jn.00186.2013  0.619
2013 Hass J, Hertäg L, Quiroga Lombard SC, Golovko T, Durstewitz D. A computational model of prefrontal cortex based on physiologically derived cellular parameter distributions Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P116  0.671
2012 Hertäg L, Hass J, Golovko T, Durstewitz D. An Approximation to the Adaptive Exponential Integrate-and-Fire Neuron Model Allows Fast and Predictive Fitting to Physiological Data. Frontiers in Computational Neuroscience. 6: 62. PMID 22973220 DOI: 10.3389/Fncom.2012.00062  0.678
2012 Hass J, Blaschke S, Herrmann JM. Cross-modal distortion of time perception: demerging the effects of observed and performed motion. Plos One. 7: e38092. PMID 22701603 DOI: 10.1371/Journal.Pone.0038092  0.319
2012 Hass J, Herrmann JM. The neural representation of time: an information-theoretic perspective. Neural Computation. 24: 1519-52. PMID 22364498 DOI: 10.1162/Neco_A_00280  0.438
2011 Hass J, Durstewitz D. Models of dopaminergic modulation Scholarpedia. 6: 4215. DOI: 10.4249/Scholarpedia.4215  0.592
2011 Haß J, Durstewitz D. A network model of a multi-item working memory task based on competitive reverberating neural activity Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P83  0.621
2011 Hertäg L, Haß J, Golovko T, Durstewitz D. An analytical approximation to the AdEx neuron model allows fast fitting to physiological data Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P81  0.659
2008 Hass J, Blaschke S, Rammsayer T, Herrmann JM. A neurocomputational model for optimal temporal processing. Journal of Computational Neuroscience. 25: 449-64. PMID 18379866 DOI: 10.1007/S10827-008-0088-4  0.323
2006 Hass J, Herrmann JM, Geisel T. Optimal mass distribution for passivity-based bipedal robots International Journal of Robotics Research. 25: 1087-1098. DOI: 10.1177/0278364906072449  0.443
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